Big data: big power shifts?

The Alexander von Humboldt Institute for Internet and Society aims to explore ahead of the curve structural shifts, tipping points and controversial questions from the digital spheres with international researchers, experts, dreamers and visionaries. We are exploring digital spheres by inviting personalities from the fields of science, culture and the economy to public talks, discussions and lectures.

The special keynote dialogue Big data: big power shifts? co-organised with the Vodafone Institute for Society and Communications asked visionary speakers to share their perspectives on societal shifts and changes in face of networked digital media and big data.

Big data has been a major issue in internet-related public debates for several years now and it is yet unclear what impact big data has on societies, politics and markets. Big data means the automatic generation of very large and diverse data sets which are mainly the result of the digitisation of modern societies, their processing by algorithms and their use for decision-making and regulation in the private or public sector. This includes purposes such as profiling, monitoring, predictive analysis or risk calculation. Viktor Mayer-Schönberger and Kenneth Cukier claim that big data is a “revolution that will transform how we live, work, and think”. But whereas revolutions imply a profound shift in power relations, there is little evidence and debate about whether and, if so, how big data affects power relations.

The lecture series explored this topic with speakers from different backgrounds and was backed by a special issue of the Internet Policy Review.

The kick-off was laid by a keynote dialogue on “Making sense of big data” on 5 November 2015 hosted by the British Embassy in Berlin.

The event series Big data: big power shifts? was initiated by the Alexander von Humboldt Institute for Internet and Society in cooperation with the Vodafone Institute for Society and Communications and curated by Dr Lena Ulbricht, WZB Research Fellow.